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SEMI-BLIND CHANNEL IDENTIFICATION AND EQUALIZATION IN OFDM: AN EXPECTATION-MAXIMIZATION APPROACH
 

Summary: SEMI-BLIND CHANNEL IDENTIFICATION AND EQUALIZATION IN OFDM:
AN EXPECTATION-MAXIMIZATION APPROACH
Tareq Y. Al-Naffouri1
, Ahmad Bahai1,2
, and Arogyaswami Paulraj1
1
Electrical Engineering Department, 2
National Semiconductor
Stanford University, CA 94305 Santa Clara, CA 95052
ABSTRACT
This work proposes an expectation-maximization approach to
channel identification and equalization in OFDM. The algorithm
exploits the natural constraints imposed by the channel (sparsity,
maximum delay spread, and a priori statistical information) and
those imposed by the transmitter (pilots, cyclic prefix, and the
finite alphabet constraint). These constraints are used to reduce
the number of pilots needed for channel and data recovery and
also to perform this task within one packet.
1. INTRODUCTION
Orthogonal frequency division multiplexing (OFDM) is an

  

Source: Al-Naffouri, Tareq Y. - Electrical Engineering Department, King Fahd University of Petroleum and Minerals

 

Collections: Engineering